Data mining

Data Mining Products
Data mining products are taking the industry by storm. The major database vendors have already taken steps to ensure that their platforms incorporate data mining techniques.

DATA MINING FOR BEGINNERS - XLMiner
This tutorial aims to introduce the practical aspects of data mining to beginners. It is assumed that the reader is aware of the very basic techniques of data mining - at least, theoretically.

Data Mining and Customer Relationships
by Kurt Thearling
The way in which companies interact with their customers has changed dramatically over the past few years. A customer's continuing business is no longer guaranteed.

Data Mining Tools: Which One is Best for CRM? Part 1
Robert A. Nisbet
It has been several years since I ventured forth to answer the question, "How to Choose a Data Mining Tool Suite." That article was organized around two central concepts: ...

Data Mining
Data Mining is an analytic process designed to explore data (usually large amounts of data - typically business or market related - also known as "big data") in search of consistent patterns and/or systematic relationships between ...

The Decision Tree is one of the most popular classification algorithms in current use in Data Mining and Machine Learning.

book are Speech Recognition, Intelligent Agents, Data Mining, and Rule-Based
Systems. Through sample real-world applications, Sara Rea shows how to make
the AI technologies both accessible and usable. Most books on AI are either ...

Data Mining
Data Mining is a term used to describe the process whereby software tools examine a company data base in order to locate information which may have complex parameter connectivity.

Data Mining
Extraction of useful information from data sets. Data mining serves to find information that is hidden within the available data.
Data Warehouse ...

Data Mining
Discovering Interesting Relationships in Large Data Sets
AITopics > Machine Learning > Data Mining ...

Data Mining
HNC ($23M profit on $110M revenue in 1997). Their flagship product is Falcon. "Falcon is a neural network-based system that examines transaction, cardholder, and merchant data to detect a wide range of credit card fraud...". ...

data mining
Knowledge extraction mechanism devoted to knowledge discovery in data bases. Some classical applications are: bio-informatics, intruder detection in network.
[close the glossary] ...

Data mining, Pattern Recognition, Machine learning, Artificial Intelligent, Game programming ...

Data Mining
This is the process of extracting useful rules from very large sets of data. When trends are observed, their causes need to be identified, and a rule expressing their relationship needs to be established.

Data Mining. A computer technique for extracting meaningful knowledge from masses of data.

Data Mining
The non-trivial process of uncovering interesting and useful relationships and patterns in very large databases to guide better business and technical decisions.

[edit] Data mining agents
See also: Data mining agents
This agent uses information technology to find trends and patterns in an abundance of information from many different sources.

Data mining
The use of tools and techniques, often from Artificial Intelligence, to determine patterns from a set of data.
(Clinical) Decision support ...

Artificial Intelligence Tutorials: Data Mining ▫ Neural Networks ▫ Fuzzy Logic ▫ Genetic Algorithms
Tutoriales de Inteligencia artificial: Redes Neuronales ▫ Lógica Fuzzy ▫ ...

On the other hand, Data Mining may be used to detect and interpret biases in data from different sources. The following figure illustrates the case of two agencies of the same bank, showing different saving patterns of their clients.

[9] AI research also overlaps with tasks such as robotics, control systems, scheduling, data mining, logistics, speech recognition, facial recognition and many others.

Content mapping Identifying and organising a high-level description of the meaning contained in a collection of electronic document Corporate amnesia The loss of collective experience, embedded tacit knowledge, and accumulated Data mining ...

Decision tree learning is also a common method used in data mining. Here, a decision tree describes a tree structure wherein leaves represent classifications and branches represent conjunctions of features that lead to those classifications [1].

After reviewing the basic tools for managing knowledge-based systems, namely Expert Systems, Neural Networks, Case-Based Reasoning, Genetic Algorithms, Intelligent Agents and Data Mining, ...

This list is by no means exhaustive, there is: constraint-satisfaction programming, speech and image recognition, fuzzy logic, pattern recognition, data mining and many more areas.

Such tracking is called data mining, and oftentimes the outcome is surprising. For example, the sophisticated computers that keep track of Wal-Mart's sales discovered an odd relationship between the sale of diapers and the sale of beer.

Clustering:
A clustering algorithm explores the similarity between patterns and places similar patterns in a cluster. Best known applications include data compression and data mining.

From 1984 to 1993, he was Senior Scientist and Director of Advanced Information Systems at Thinking Machines Corporation in Cambridge, MA, where he headed a group that built a large-scale text retrieval system, a web search engine, and data mining ...

See also: Distribution, Neural network, Classification, Regression, Variance